{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "stuck-balloon",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.13.2 | packaged by conda-forge | (main, Feb 17 2025, 14:10:22) [GCC 13.3.0]\n",
      "2025.09.1\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from rdkit import rdBase, Chem, DataStructs\n",
    "from rdkit.Chem import AllChem, Draw, Descriptors, PandasTools, rdMolDescriptors, QED\n",
    "from rdkit.Chem.SpacialScore import SPS\n",
    "\n",
    "sys.path.append(os.path.join(os.environ['CONDA_PREFIX'],'share','RDKit','Contrib'))\n",
    "from SA_Score import sascorer\n",
    "from NP_Score import npscorer\n",
    "\n",
    "import QEPPI as ppi\n",
    "from QEPPI import QEPPI_Calculator, get_qeppi_properties\n",
    "\n",
    "PandasTools.RenderImagesInAllDataFrames(True)\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "\n",
    "import math\n",
    "from scipy.stats import pearsonr, spearmanr\n",
    "from scipy import stats\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "print(sys.version)\n",
    "print(rdBase.rdkitVersion)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "irish-medium",
   "metadata": {},
   "outputs": [],
   "source": [
    "#load qeppi Calculator\n",
    "q = QEPPI_Calculator()\n",
    "q.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "renewable-newsletter",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "455\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IDNUMBER</th>\n",
       "      <th>NAME</th>\n",
       "      <th>ADD_INFO</th>\n",
       "      <th>H_ACCEPTORS</th>\n",
       "      <th>H_DONORS</th>\n",
       "      <th>ROTATABLE_BONDS</th>\n",
       "      <th>LOGP</th>\n",
       "      <th>LOGS</th>\n",
       "      <th>TPSA</th>\n",
       "      <th>PRICE</th>\n",
       "      <th>ID</th>\n",
       "      <th>ROMol</th>\n",
       "      <th>SALTDATA</th>\n",
       "      <th>STEREOCHEM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AA-504/07224027</td>\n",
       "      <td>17-(1,5-dimethylhexyl)-10,13-dimethyl-2,3,4,7,...</td>\n",
       "      <td>http://www.specs.net/enter.php?specsid=AA-504/...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8.7399998</td>\n",
       "      <td>-8.9700003</td>\n",
       "      <td>20.23</td>\n",
       "      <td>N05</td>\n",
       "      <td>AA-504/07224027</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA-504/07226009</td>\n",
       "      <td>Beta-Sitosterol</td>\n",
       "      <td>http://www.specs.net/enter.php?specsid=AA-504/...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>9.6499996</td>\n",
       "      <td>-9.9499998</td>\n",
       "      <td>20.23</td>\n",
       "      <td>N07</td>\n",
       "      <td>AA-504/07226009</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AA-504/07617049</td>\n",
       "      <td>4,7-bis(dimethylamino)-3,10,12,12a-tetrahydrox...</td>\n",
       "      <td>http://www.specs.net/enter.php?specsid=AA-504/...</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.079999998</td>\n",
       "      <td>-3.78</td>\n",
       "      <td>164.63</td>\n",
       "      <td>N05</td>\n",
       "      <td>AA-504/07617049</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AA-504/20833001</td>\n",
       "      <td>Angelicin (Isopsoralen)</td>\n",
       "      <td>http://www.specs.net/enter.php?specsid=AA-504/...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0799999</td>\n",
       "      <td>-2.3399999</td>\n",
       "      <td>39.439999</td>\n",
       "      <td>N07</td>\n",
       "      <td>AA-504/20833001</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AA-504/20833002</td>\n",
       "      <td>Psoralen (Ficusin)</td>\n",
       "      <td>http://www.specs.net/enter.php?specsid=AA-504/...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.67</td>\n",
       "      <td>-1.99</td>\n",
       "      <td>39.439999</td>\n",
       "      <td>N07</td>\n",
       "      <td>AA-504/20833002</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          IDNUMBER                                               NAME  \\\n",
       "0  AA-504/07224027  17-(1,5-dimethylhexyl)-10,13-dimethyl-2,3,4,7,...   \n",
       "1  AA-504/07226009                                    Beta-Sitosterol   \n",
       "2  AA-504/07617049  4,7-bis(dimethylamino)-3,10,12,12a-tetrahydrox...   \n",
       "3  AA-504/20833001                            Angelicin (Isopsoralen)   \n",
       "4  AA-504/20833002                                 Psoralen (Ficusin)   \n",
       "\n",
       "                                            ADD_INFO H_ACCEPTORS H_DONORS  \\\n",
       "0  http://www.specs.net/enter.php?specsid=AA-504/...           1        1   \n",
       "1  http://www.specs.net/enter.php?specsid=AA-504/...           1        1   \n",
       "2  http://www.specs.net/enter.php?specsid=AA-504/...           9        5   \n",
       "3  http://www.specs.net/enter.php?specsid=AA-504/...           1        0   \n",
       "4  http://www.specs.net/enter.php?specsid=AA-504/...           1        0   \n",
       "\n",
       "  ROTATABLE_BONDS          LOGP        LOGS       TPSA PRICE               ID  \\\n",
       "0               5     8.7399998  -8.9700003      20.23   N05  AA-504/07224027   \n",
       "1               6     9.6499996  -9.9499998      20.23   N07  AA-504/07226009   \n",
       "2               3  -0.079999998       -3.78     164.63   N05  AA-504/07617049   \n",
       "3               0     2.0799999  -2.3399999  39.439999   N07  AA-504/20833001   \n",
       "4               0          1.67       -1.99  39.439999   N07  AA-504/20833002   \n",
       "\n",
       "                                              ROMol SALTDATA STEREOCHEM  \n",
       "0  <rdkit.Chem.rdchem.Mol object at 0x73d8644657e0>      NaN        NaN  \n",
       "1  <rdkit.Chem.rdchem.Mol object at 0x73d864465850>      NaN        NaN  \n",
       "2  <rdkit.Chem.rdchem.Mol object at 0x73d8644658c0>      NaN        NaN  \n",
       "3  <rdkit.Chem.rdchem.Mol object at 0x73d864465930>      NaN        NaN  \n",
       "4  <rdkit.Chem.rdchem.Mol object at 0x73d8644659a0>      NaN        NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = PandasTools.LoadSDF('data/cmpounds.sdf')\n",
    "print(len(df))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "verified-desperate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IDNUMBER</th>\n",
       "      <th>ROMol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AA-504/07224027</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA-504/07226009</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AA-504/07617049</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AA-504/20833001</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AA-504/20833002</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          IDNUMBER                                             ROMol\n",
       "0  AA-504/07224027  <rdkit.Chem.rdchem.Mol object at 0x73d8644657e0>\n",
       "1  AA-504/07226009  <rdkit.Chem.rdchem.Mol object at 0x73d864465850>\n",
       "2  AA-504/07617049  <rdkit.Chem.rdchem.Mol object at 0x73d8644658c0>\n",
       "3  AA-504/20833001  <rdkit.Chem.rdchem.Mol object at 0x73d864465930>\n",
       "4  AA-504/20833002  <rdkit.Chem.rdchem.Mol object at 0x73d8644659a0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = df[['IDNUMBER', 'ROMol']]\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fitting-korea",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lipinski: Rule of five\n",
    "def rule_of_five(m):\n",
    "    mw = Descriptors.MolWt(m)\n",
    "    logp = Descriptors.MolLogP(m)\n",
    "    hbd = rdMolDescriptors.CalcNumLipinskiHBD(m)\n",
    "    hba = rdMolDescriptors.CalcNumLipinskiHBA(m)\n",
    "    psa = Descriptors.TPSA(m)\n",
    "    if (mw <= 500 and logp <= 5 and hbd <= 5 and hba <= 10):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "sticky-winning",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Rule of Four\n",
    "def rule_of_four(m):\n",
    "    mw = Descriptors.MolWt(m)\n",
    "    logp = Descriptors.MolLogP(m)\n",
    "    hba = rdMolDescriptors.CalcNumLipinskiHBA(m)\n",
    "    rings = AllChem.CalcNumRings(m)\n",
    "    if (mw >= 400 and logp >= 4 and rings >= 4 and hba >= 4):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "applicable-tamil",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Rule of three\n",
    "def rule_of_three(m):\n",
    "    mw = Descriptors.MolWt(m)\n",
    "    logp = Descriptors.MolLogP(m)\n",
    "    hbd = rdMolDescriptors.CalcNumLipinskiHBD(m)\n",
    "    hba = rdMolDescriptors.CalcNumLipinskiHBA(m)\n",
    "    rotatable_bonds = Descriptors.NumRotatableBonds(m)\n",
    "    if (mw <= 300 and logp <= 3 and hbd <= 3 and hba <= 3 and rotatable_bonds <= 3):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "legendary-equilibrium",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Ghose Filter\n",
    "def ghose_filter(m):\n",
    "    mw = Descriptors.MolWt(m)\n",
    "    logp = Descriptors.MolLogP(m)\n",
    "    NumAtoms= Chem.rdchem.Mol.GetNumAtoms(m)\n",
    "    mol_refractivity = Chem.Crippen.MolMR(m)\n",
    "    if (mw >= 160 and mw <= 480 and logp >= 0.4 and logp <= 5.6 and NumAtoms >= 20 and NumAtoms <= 70 and mol_refractivity >= 40 and mol_refractivity <= 130):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "unknown-alexander",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Veber Filter\n",
    "def veber_filter(m):\n",
    "    rotatable_bonds = Descriptors.NumRotatableBonds(m)\n",
    "    psa = Descriptors.TPSA(m)\n",
    "    if (rotatable_bonds <= 10 and psa <= 140):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "unlimited-cholesterol",
   "metadata": {},
   "outputs": [],
   "source": [
    "# REOS Filter\n",
    "def reos_filter(m):\n",
    "    mw = Descriptors.MolWt(m)\n",
    "    logp = Descriptors.MolLogP(m)\n",
    "    hba = rdMolDescriptors.CalcNumLipinskiHBA(m)\n",
    "    hbd = rdMolDescriptors.CalcNumLipinskiHBD(m)\n",
    "    rotatable_bonds = Descriptors.NumRotatableBonds(m)\n",
    "    formal_charge = Chem.rdmolops.GetFormalCharge(m)\n",
    "    NumHeavyAtom = Chem.rdchem.Mol.GetNumHeavyAtoms(m)\n",
    "    rings = AllChem.CalcNumRings(m)\n",
    "    if (mw >= 200 and mw <= 500 and logp >= int(0 - 5) and logp <= 5 and hbd >= 0 and hbd <= 5 and hba >= 0 and hba <= 10 and \n",
    "        formal_charge >= int(0-2) and formal_charge <= 2 and rotatable_bonds >= 0 and rotatable_bonds <= 8 and NumHeavyAtom >= 15 and NumHeavyAtom <= 50):\n",
    "        return 1\n",
    "    else:\n",
    "        return 0         "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "racial-argument",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_66420/454588898.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['Ro3'] = data.ROMol.map(rule_of_three)\n",
      "/tmp/ipykernel_66420/454588898.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['Ro4'] = data.ROMol.map(rule_of_four)\n",
      "/tmp/ipykernel_66420/454588898.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['Lipinski'] = data.ROMol.map(rule_of_five)\n",
      "/tmp/ipykernel_66420/454588898.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['Ghose Filter'] = data.ROMol.map(ghose_filter)\n",
      "/tmp/ipykernel_66420/454588898.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[\"Veber Filter\"] = data.ROMol.map(veber_filter)\n",
      "/tmp/ipykernel_66420/454588898.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[\"REOS Filter\"] = data.ROMol.map(reos_filter)\n",
      "/tmp/ipykernel_66420/454588898.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['QED'] = data.ROMol.map(QED.qed)\n",
      "/tmp/ipykernel_66420/454588898.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['QEPPI'] = data.ROMol.map(q.qeppi)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IDNUMBER</th>\n",
       "      <th>ROMol</th>\n",
       "      <th>Ro3</th>\n",
       "      <th>Ro4</th>\n",
       "      <th>Lipinski</th>\n",
       "      <th>Ghose Filter</th>\n",
       "      <th>Veber Filter</th>\n",
       "      <th>REOS Filter</th>\n",
       "      <th>QED</th>\n",
       "      <th>QEPPI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AA-504/07224027</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.488312</td>\n",
       "      <td>0.149903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA-504/07226009</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.436096</td>\n",
       "      <td>0.151972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AA-504/07617049</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.337567</td>\n",
       "      <td>0.215317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AA-504/20833001</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.506483</td>\n",
       "      <td>0.361118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AA-504/20833002</td>\n",
       "      <td style=\"text-align: center;\"><div style=\"width: 200px; height: 200px\" data-content=\"rdkit/molecule\"><img src=\"\" alt=\"Mol\"/></div></td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.506483</td>\n",
       "      <td>0.361118</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          IDNUMBER                                             ROMol  Ro3  \\\n",
       "0  AA-504/07224027  <rdkit.Chem.rdchem.Mol object at 0x73d8644657e0>    0   \n",
       "1  AA-504/07226009  <rdkit.Chem.rdchem.Mol object at 0x73d864465850>    0   \n",
       "2  AA-504/07617049  <rdkit.Chem.rdchem.Mol object at 0x73d8644658c0>    0   \n",
       "3  AA-504/20833001  <rdkit.Chem.rdchem.Mol object at 0x73d864465930>    1   \n",
       "4  AA-504/20833002  <rdkit.Chem.rdchem.Mol object at 0x73d8644659a0>    1   \n",
       "\n",
       "   Ro4  Lipinski  Ghose Filter  Veber Filter  REOS Filter       QED     QEPPI  \n",
       "0    0         0             0             1            0  0.488312  0.149903  \n",
       "1    0         0             0             1            0  0.436096  0.151972  \n",
       "2    0         1             0             0            1  0.337567  0.215317  \n",
       "3    0         1             0             1            0  0.506483  0.361118  \n",
       "4    0         1             0             1            0  0.506483  0.361118  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Ro3'] = data.ROMol.map(rule_of_three)\n",
    "data['Ro4'] = data.ROMol.map(rule_of_four)\n",
    "data['Lipinski'] = data.ROMol.map(rule_of_five)\n",
    "data['Ghose Filter'] = data.ROMol.map(ghose_filter)\n",
    "data[\"Veber Filter\"] = data.ROMol.map(veber_filter)\n",
    "data[\"REOS Filter\"] = data.ROMol.map(reos_filter)\n",
    "data['QED'] = data.ROMol.map(QED.qed)\n",
    "data['QEPPI'] = data.ROMol.map(q.qeppi)\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "banner-newsletter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Lipinski', ylabel='QED'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\") \n",
    "sns.violinplot(x='Lipinski', y='QED', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "chubby-garden",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Ro3', ylabel='QED'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\") \n",
    "sns.violinplot(x='Ro3', y='QED', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "viral-excitement",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Ro4', ylabel='QED'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\") \n",
    "sns.violinplot(x='Ro4', y='QED', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "intensive-stockholm",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Lipinski', ylabel='QEPPI'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\") \n",
    "sns.violinplot(x='Lipinski', y='QEPPI', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "tamil-psychiatry",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Ro3', ylabel='QEPPI'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\") \n",
    "sns.violinplot(x='Ro3', y='QEPPI', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "tender-procedure",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Ro4', ylabel='QEPPI'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\") \n",
    "sns.violinplot(x='Ro4', y='QEPPI', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "surface-redhead",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "RDKit313",
   "language": "python",
   "name": "rdkit313"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
